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@lstpsche/apidog-mcp

by lstpsche

apidog_create_cases

Create endpoint usage cases for Apidog from a request array. Builds a Postman collection and imports it safely, preserving existing endpoint definitions.

Instructions

Create one or more endpoint cases (usage examples). Pass a single-item or multi-item array. Internally builds a Postman collection and imports safely. Never overwrites endpoint definitions — only manages cases.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
casesYesArray of case definitions (single or multiple)
moduleYesModule name
projectNoProject name. Required when multiple projects are configured, optional otherwise.
overwriteExistingNoIf true, overwrites cases with same names (default false — skips existing)
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full behavioral disclosure. It adds value by explaining the internal mechanism ('builds a Postman collection and imports safely') and the non-destructive constraint ('Never overwrites endpoint definitions'). However, it omits other behavioral traits such as whether existing cases are overwritten by default (though the schema covers the overwriteExisting parameter), rate limits, or permissions. This is useful but not rich behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only two sentences, efficiently conveying purpose, mechanism, and a key safety guarantee. Every sentence earns its place with no repetition or filler. The core action is front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the moderate complexity (4 parameters, no output schema, no annotations), the description is reasonably complete. It explains the tool's action, its internal collection-building behavior, and the non-destructive guarantee. It doesn't explain the return value, but without an output schema this is less critical. The schema covers parameter details, so the description complements rather than repeats it.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 100% parameter coverage and detailed descriptions for each property. The description adds minimal extra meaning beyond noting 'Pass a single-item or multi-item array', which the schema also expresses. Since the schema handles parameter semantics well, the baseline of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: 'Create one or more endpoint cases (usage examples)'. It also distinguishes this from other tools by noting 'Never overwrites endpoint definitions — only manages cases', which sets it apart from sibling tools that manage definitions. The verb 'create' and resource 'cases' are specific and unambiguous.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool: to create endpoint cases. The line 'Never overwrites endpoint definitions — only manages cases' implies a when-not scenario (not for editing definitions) and a safety guarantee, but it doesn't name specific alternative tools. This is clear context without explicit exclusions, so it earns a 4.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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